Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "144" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 78 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 76 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459894 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.803033 | -1.065607 | -0.669724 | 3.113829 | -1.348268 | -1.422068 | -0.562182 | -0.573314 | 0.0958 | 0.1077 | 0.0405 | nan | nan |
| 2459893 | digital_ok | 0.00% | 38.49% | 38.49% | 0.00% | - | - | -0.853288 | -0.781584 | -0.659882 | 3.176541 | 0.201566 | -1.326926 | -0.430564 | 0.102976 | 0.4851 | 0.4804 | 0.2522 | nan | nan |
| 2459892 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.639084 | -0.712769 | -0.685132 | 3.595216 | -0.525238 | -0.762568 | -0.343903 | -0.060581 | 0.6972 | 0.6925 | 0.3802 | nan | nan |
| 2459891 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.496450 | -1.117082 | -0.782081 | 5.357092 | 0.759338 | -0.526229 | 0.055714 | 0.313667 | 0.6924 | 0.6681 | 0.3933 | nan | nan |
| 2459890 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.599700 | -1.371752 | -0.606091 | 6.378707 | -0.483573 | -0.680043 | -0.268365 | -0.837577 | 0.6940 | 0.6644 | 0.3940 | nan | nan |
| 2459889 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.766469 | -1.291890 | -0.893213 | 5.249199 | 1.133860 | 1.964415 | -0.540085 | -0.287652 | 0.7011 | 0.6677 | 0.3906 | nan | nan |
| 2459888 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.666966 | -1.370353 | -0.619959 | 5.245843 | 0.481234 | 16.150329 | -0.661574 | 1.920127 | 0.7164 | 0.6957 | 0.3751 | nan | nan |
| 2459887 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.597354 | -0.819747 | -0.438178 | 6.467969 | 1.676804 | -0.782390 | -0.405172 | -0.142346 | 0.7010 | 0.6630 | 0.3968 | nan | nan |
| 2459886 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.595611 | -0.084042 | -0.389518 | -1.581556 | -0.123267 | -0.736622 | -0.190570 | -1.129392 | 0.7808 | 0.7731 | 0.3110 | nan | nan |
| 2459885 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.751429 | -0.581688 | 0.333818 | 6.844844 | -0.209220 | 3.842383 | -0.354520 | 0.806784 | 0.7488 | 0.7406 | 0.3287 | nan | nan |
| 2459884 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.814736 | -0.275661 | -0.628617 | 2.151091 | 0.915285 | -1.076751 | -0.565587 | 1.385143 | 0.7027 | 0.6930 | 0.3823 | nan | nan |
| 2459883 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.275740 | -0.886795 | 0.372073 | 11.505460 | -0.263269 | 0.393165 | -0.621648 | 5.684137 | 0.7020 | 0.6976 | 0.3703 | nan | nan |
| 2459882 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.414119 | -1.167843 | 0.256593 | 13.788626 | 0.250216 | -0.237838 | -0.135737 | 0.151902 | 0.7041 | 0.6975 | 0.3661 | nan | nan |
| 2459881 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.377068 | -0.415390 | 0.253358 | 14.030732 | 0.749617 | -1.153864 | 0.533429 | 1.872083 | 0.7385 | 0.7436 | 0.3156 | nan | nan |
| 2459880 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.371704 | -0.726974 | -0.372224 | 12.186318 | 0.214520 | -0.512819 | -0.268620 | 1.608855 | 0.6973 | 0.6974 | 0.3800 | nan | nan |
| 2459879 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.483380 | -0.172065 | -0.307111 | 2.473468 | -0.588409 | -0.648267 | -0.316280 | 1.489028 | 0.6828 | 0.6877 | 0.3980 | nan | nan |
| 2459878 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.557772 | -1.071943 | 0.005498 | 18.546849 | 0.659812 | 1.264879 | 0.527889 | 4.781387 | 0.6867 | 0.6905 | 0.3960 | nan | nan |
| 2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.539385 | -0.947585 | -0.077501 | 18.115588 | 1.513786 | 28.612001 | 0.230077 | 5.096597 | 0.7038 | 0.6731 | 0.3914 | nan | nan |
| 2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -2.007551 | -0.984110 | 0.245418 | 16.060563 | 0.248846 | -0.883138 | -0.551270 | 0.246968 | 0.7152 | 0.7136 | 0.3950 | nan | nan |
| 2459874 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.918901 | -0.959943 | -0.379149 | 7.635709 | 0.214884 | 0.962674 | 0.123206 | 0.166972 | 0.6999 | 0.6762 | 0.3915 | nan | nan |
| 2459873 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.145488 | -0.808886 | -0.292133 | 9.910796 | -0.347024 | -0.528122 | -0.628643 | -0.576558 | 0.7121 | 0.6836 | 0.3797 | nan | nan |
| 2459872 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -1.407704 | -0.876833 | 0.181630 | 12.461338 | 0.827748 | -0.319487 | -0.187343 | -0.544560 | 0.0556 | 0.0695 | 0.0057 | nan | nan |
| 2459871 | digital_ok | 100.00% | 50.38% | 50.38% | 0.00% | - | - | -1.316560 | -0.869466 | -0.595031 | 13.958891 | 0.549871 | -0.292352 | -0.413445 | -0.476996 | 0.3879 | 0.3641 | 0.1689 | nan | nan |
| 2459870 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.379987 | -1.221520 | -0.334478 | 9.154970 | 0.142456 | 0.902911 | 0.447109 | 1.966097 | 0.7200 | 0.6970 | 0.3757 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.911434 | -0.357354 | -0.682101 | 2.129941 | 0.976255 | 1.793590 | -0.306803 | 1.395512 | 0.7269 | 0.7237 | 0.3708 | nan | nan |
| 2459868 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.020841 | -0.185530 | -1.278241 | -0.807249 | -0.849144 | 0.625878 | -0.510939 | 1.871489 | 0.7089 | 0.6967 | 0.3890 | nan | nan |
| 2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.304127 | -0.261804 | -0.894212 | -0.380108 | -0.243486 | 0.847892 | -0.240485 | 1.970590 | 0.7199 | 0.7026 | 0.3895 | nan | nan |
| 2459866 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.929721 | -0.457616 | -0.724834 | -0.300682 | -0.343010 | 0.012909 | -0.564030 | -0.097688 | 0.7188 | 0.7019 | 0.3845 | nan | nan |
| 2459865 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.312564 | -0.094931 | -1.096297 | 1.857754 | 1.002292 | -0.974105 | -0.395355 | 0.134691 | 0.7307 | 0.7176 | 0.3656 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.269477 | -0.586585 | 2.599927 | 9.853786 | -0.137761 | 0.015093 | 0.128302 | 3.065813 | 0.7068 | 0.7092 | 0.4047 | nan | nan |
| 2459863 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.457614 | 0.375826 | 1.003528 | -0.696402 | -0.457190 | -0.918477 | -0.420631 | -0.061665 | 0.7028 | 0.7014 | 0.3945 | nan | nan |
| 2459862 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -1.666187 | -0.377595 | 2.594409 | 12.106069 | -0.289588 | -0.459431 | -0.326538 | -0.502390 | 0.0517 | 0.0548 | 0.0057 | nan | nan |
| 2459861 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.311475 | -0.743534 | 1.124135 | -1.783556 | -0.256452 | -0.868955 | -0.119092 | 0.722880 | 0.0502 | 0.0537 | 0.0061 | nan | nan |
| 2459860 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.427408 | -0.540524 | 2.400005 | 10.122154 | 0.410237 | 1.616018 | -0.134974 | 1.508343 | 0.7211 | 0.7069 | 0.4034 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.329685 | -0.725055 | 1.291582 | -1.564380 | -0.487197 | -0.984187 | -0.474590 | 0.799581 | 0.7251 | 0.7122 | 0.3965 | nan | nan |
| 2459858 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.573479 | -0.499763 | -0.631843 | -2.274005 | 10.401640 | -0.772883 | 0.449939 | 18.898239 | 0.7356 | 0.7076 | 0.4032 | 3.358406 | 3.114804 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.341029 | 4.414143 | -0.084978 | -1.424630 | 11.241746 | 4.705657 | 1.066908 | 13.285785 | 0.0277 | 0.0262 | 0.0011 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.926731 | -0.531912 | -0.969811 | 4.499192 | 2.667985 | 16.365873 | 1.969147 | 2.486724 | 0.7277 | 0.7232 | 0.3833 | 4.380687 | 3.460238 |
| 2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.721914 | 0.713326 | -1.208575 | 1.311217 | 0.153723 | 0.225833 | 0.181829 | 16.127197 | 0.7191 | 0.7415 | 0.4143 | 4.715058 | 3.684030 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.946970 | 0.015794 | -0.900598 | 3.754481 | -0.168853 | -0.372593 | 0.287643 | 23.391879 | 0.7332 | 0.7621 | 0.4242 | 4.818325 | 4.357762 |
| 2459853 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.539132 | -0.263310 | -0.713636 | 5.233308 | -0.613321 | 0.212187 | 0.543507 | 32.140498 | 0.7544 | 0.7164 | 0.4105 | 4.643008 | 3.943921 |
| 2459852 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.803003 | -0.625215 | -0.063101 | 4.231166 | 3.299315 | 7.022523 | 0.135218 | 3.159291 | 0.8431 | 0.8468 | 0.2298 | 6.894543 | 6.461140 |
| 2459851 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.049300 | -0.464799 | -0.592197 | 2.757262 | 1.276186 | 103.910739 | 2.209398 | 36.054251 | 0.7703 | 0.7512 | 0.3306 | 0.000000 | 0.000000 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.375549 | -0.667023 | -0.865473 | 2.546625 | -0.179834 | 1.188941 | 0.926237 | 108.411349 | 0.7584 | 0.7660 | 0.3383 | 4.415341 | 3.205795 |
| 2459849 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.584261 | -0.918990 | 0.304972 | 1.999725 | 0.498380 | 7.873512 | 0.472617 | 95.781715 | 0.7565 | 0.7593 | 0.3444 | 6.422361 | 4.970208 |
| 2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.124549 | -0.818205 | -0.161280 | 11.292053 | -0.354372 | 23.133728 | -0.121190 | 48.173161 | 0.7347 | 0.7371 | 0.3673 | 5.735127 | 3.913483 |
| 2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.201326 | -0.064058 | -0.159313 | 1.032735 | 0.526750 | 0.659986 | 1.547311 | 27.434802 | 0.7342 | 0.6961 | 0.4193 | 10.017898 | 7.226012 |
| 2459846 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.088617 | -0.407114 | 0.308201 | 0.979163 | -0.693941 | 0.256880 | 1.423322 | 18.073244 | 0.8429 | 0.6817 | 0.4662 | 4.829895 | 4.208223 |
| 2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.79% | 2.21% | -1.162102 | -0.637590 | 0.365486 | -0.213804 | -0.161980 | 1.718762 | 2.185641 | 3.609500 | 0.7368 | 0.7489 | 0.3760 | 0.000000 | 0.000000 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.276579 | 2.230198 | -0.849082 | -0.426676 | 1.392997 | 1.202148 | 3.421803 | 6.459591 | 0.0271 | 0.0250 | 0.0012 | nan | nan |
| 2459843 | digital_ok | 100.00% | 1.20% | 0.66% | 0.00% | 100.00% | 0.00% | -0.274239 | -0.880846 | 0.839911 | -0.553704 | -0.301040 | 0.127165 | 5.296003 | 5.069868 | 0.7506 | 0.7520 | 0.3919 | 0.000000 | 0.000000 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.004967 | -0.023442 | -1.150198 | 0.019679 | 0.387197 | 0.866927 | 0.684945 | 1.897618 | 0.7717 | 0.7132 | 0.2356 | 2.060684 | 2.048554 |
| 2459841 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 4.777141 | 1.949631 | 0.406055 | 0.325631 | 1.054712 | 25.340674 | 3.100221 | 4.393297 | 0.0272 | 0.0252 | 0.0013 | nan | nan |
| 2459840 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 125.519916 | 180.870301 | 74.350045 | 90.170868 | 1097.864084 | 1121.705082 | 2213.672390 | 2621.729007 | 0.0192 | 0.0165 | 0.0019 | nan | nan |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | -0.627485 | -0.176346 | -0.993301 | -1.143095 | 5.927674 | 7.319965 | 1.552410 | 5.052731 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.61% | -1.134688 | -1.803027 | 1.229603 | 3.888863 | 2.442409 | -1.013294 | -0.699402 | 1.050754 | 0.7662 | 0.7264 | 0.3843 | 2.173597 | 2.055125 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0362 | 0.0385 | 0.0010 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.647518 | 0.960903 | 1.322164 | 1.702971 | 0.826174 | 3.008385 | 0.737786 | 1.728453 | 0.0364 | 0.0424 | 0.0012 | nan | nan |
| 2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.949849 | -0.543999 | -0.460647 | -0.304310 | 4.095914 | 2.515313 | 1.229755 | 5.220051 | 0.0313 | 0.0295 | 0.0012 | nan | nan |
| 2459832 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.215628 | -1.333906 | 1.171136 | 0.125909 | -0.950184 | -0.855247 | 0.484875 | 10.801160 | 0.8207 | 0.5679 | 0.5720 | 6.248704 | 4.942162 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.696333 | -0.315680 | -1.142852 | -1.004770 | -0.066870 | 0.417104 | 0.526253 | 3.307796 | 0.0301 | 0.0285 | 0.0017 | nan | nan |
| 2459830 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.432051 | -0.500183 | 1.885290 | -0.048401 | 0.356521 | 0.399949 | 0.103651 | 22.189190 | 0.8168 | 0.5678 | 0.5693 | 8.353370 | 9.106292 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.324587 | -0.724137 | 0.662954 | -0.227785 | 3.877989 | 2.028785 | 0.838115 | 20.877046 | 0.7624 | 0.6883 | 0.4147 | 0.000000 | 0.000000 |
| 2459828 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | -1.434755 | -0.447511 | 0.903187 | -0.048718 | -0.038000 | 0.633642 | -0.673313 | 0.691995 | 0.8151 | 0.5810 | 0.5469 | 4.237250 | 3.821627 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.929214 | -1.024642 | 2.119470 | 1.774670 | -0.361039 | 33.508906 | 3.467563 | 10.753035 | 0.7727 | 0.6943 | 0.4139 | 0.000000 | 0.000000 |
| 2459826 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.891885 | -0.709840 | 2.375411 | -0.441658 | -0.482175 | 1.730629 | -0.252048 | 24.328511 | 0.8199 | 0.6250 | 0.4994 | 9.402231 | 9.506917 |
| 2459825 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.259886 | -1.022981 | 1.565350 | -0.238973 | 0.197887 | -0.077626 | 0.378124 | 0.555174 | 0.8161 | 0.6247 | 0.5072 | 0.000000 | 0.000000 |
| 2459824 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.958164 | -0.779289 | 1.374050 | -0.299839 | 4.157505 | 2.264009 | 6.364085 | 5.643137 | 0.7436 | 0.7624 | 0.3483 | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.464063 | 0.478611 | 2.116515 | 3.531603 | 0.612442 | 3.053780 | -0.072801 | 27.338390 | 0.7821 | 0.6627 | 0.4602 | 0.000000 | 0.000000 |
| 2459822 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.209145 | -0.462368 | 1.213202 | 0.663629 | -0.560988 | 1.192412 | 3.077215 | 5.913821 | 0.8241 | 0.6543 | 0.4919 | 9.726073 | 7.677324 |
| 2459821 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.642663 | -1.180294 | 1.500539 | -0.962247 | 1.256325 | 2.710710 | 4.572441 | 7.843993 | 0.8079 | 0.6498 | 0.5013 | 0.000000 | 0.000000 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.346353 | -1.040797 | 1.842834 | 1.894681 | 4.831163 | 35.741106 | 3.064267 | 5.757745 | 0.7875 | 0.7004 | 0.4035 | 11.483711 | 10.689379 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 23.68% | -0.574121 | -0.526816 | 0.582195 | -0.848006 | 0.200998 | 0.327305 | 1.057073 | 0.744279 | 0.8172 | 0.6868 | 0.4879 | 1.870280 | 1.473163 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 6.98% | -0.690456 | -0.847904 | 2.183127 | -0.256035 | 0.585707 | -0.263776 | -0.070045 | 0.110955 | 0.8544 | 0.6258 | 0.5674 | 1.887969 | 1.593661 |
| 2459815 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.227241 | -0.741000 | 1.448922 | -0.752287 | -0.952240 | -0.182320 | 1.196145 | 8.946302 | 0.8060 | 0.6856 | 0.5099 | 15.492003 | 11.525141 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.357865 | -0.139560 | -0.373563 | 1.145253 | 14.349637 | 1.937647 | 0.971594 | 7.253979 | 0.8020 | 0.7212 | 0.3962 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 3.113829 | -1.065607 | -0.803033 | 3.113829 | -0.669724 | -1.422068 | -1.348268 | -0.573314 | -0.562182 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 3.176541 | -0.853288 | -0.781584 | -0.659882 | 3.176541 | 0.201566 | -1.326926 | -0.430564 | 0.102976 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 3.595216 | -0.712769 | -0.639084 | 3.595216 | -0.685132 | -0.762568 | -0.525238 | -0.060581 | -0.343903 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 5.357092 | -0.496450 | -1.117082 | -0.782081 | 5.357092 | 0.759338 | -0.526229 | 0.055714 | 0.313667 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 6.378707 | -1.371752 | -0.599700 | 6.378707 | -0.606091 | -0.680043 | -0.483573 | -0.837577 | -0.268365 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 5.249199 | -0.766469 | -1.291890 | -0.893213 | 5.249199 | 1.133860 | 1.964415 | -0.540085 | -0.287652 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 16.150329 | -1.370353 | -0.666966 | 5.245843 | -0.619959 | 16.150329 | 0.481234 | 1.920127 | -0.661574 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 6.467969 | -0.819747 | -0.597354 | 6.467969 | -0.438178 | -0.782390 | 1.676804 | -0.142346 | -0.405172 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Shape | -0.084042 | -0.595611 | -0.084042 | -0.389518 | -1.581556 | -0.123267 | -0.736622 | -0.190570 | -1.129392 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 6.844844 | -0.581688 | -1.751429 | 6.844844 | 0.333818 | 3.842383 | -0.209220 | 0.806784 | -0.354520 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 2.151091 | -0.275661 | -0.814736 | 2.151091 | -0.628617 | -1.076751 | 0.915285 | 1.385143 | -0.565587 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 11.505460 | -0.886795 | -1.275740 | 11.505460 | 0.372073 | 0.393165 | -0.263269 | 5.684137 | -0.621648 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 13.788626 | -1.167843 | -1.414119 | 13.788626 | 0.256593 | -0.237838 | 0.250216 | 0.151902 | -0.135737 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 14.030732 | -0.415390 | -1.377068 | 14.030732 | 0.253358 | -1.153864 | 0.749617 | 1.872083 | 0.533429 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 12.186318 | -0.726974 | -1.371704 | 12.186318 | -0.372224 | -0.512819 | 0.214520 | 1.608855 | -0.268620 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 2.473468 | -0.172065 | -0.483380 | 2.473468 | -0.307111 | -0.648267 | -0.588409 | 1.489028 | -0.316280 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 18.546849 | -1.071943 | -0.557772 | 18.546849 | 0.005498 | 1.264879 | 0.659812 | 4.781387 | 0.527889 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 28.612001 | -0.539385 | -0.947585 | -0.077501 | 18.115588 | 1.513786 | 28.612001 | 0.230077 | 5.096597 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 16.060563 | -2.007551 | -0.984110 | 0.245418 | 16.060563 | 0.248846 | -0.883138 | -0.551270 | 0.246968 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 7.635709 | -1.918901 | -0.959943 | -0.379149 | 7.635709 | 0.214884 | 0.962674 | 0.123206 | 0.166972 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 9.910796 | -1.145488 | -0.808886 | -0.292133 | 9.910796 | -0.347024 | -0.528122 | -0.628643 | -0.576558 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 12.461338 | -0.876833 | -1.407704 | 12.461338 | 0.181630 | -0.319487 | 0.827748 | -0.544560 | -0.187343 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 13.958891 | -0.869466 | -1.316560 | 13.958891 | -0.595031 | -0.292352 | 0.549871 | -0.476996 | -0.413445 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 9.154970 | -1.379987 | -1.221520 | -0.334478 | 9.154970 | 0.142456 | 0.902911 | 0.447109 | 1.966097 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 2.129941 | -0.911434 | -0.357354 | -0.682101 | 2.129941 | 0.976255 | 1.793590 | -0.306803 | 1.395512 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 1.871489 | -1.020841 | -0.185530 | -1.278241 | -0.807249 | -0.849144 | 0.625878 | -0.510939 | 1.871489 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 1.970590 | -1.304127 | -0.261804 | -0.894212 | -0.380108 | -0.243486 | 0.847892 | -0.240485 | 1.970590 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 0.012909 | -0.457616 | -0.929721 | -0.300682 | -0.724834 | 0.012909 | -0.343010 | -0.097688 | -0.564030 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 1.857754 | -0.312564 | -0.094931 | -1.096297 | 1.857754 | 1.002292 | -0.974105 | -0.395355 | 0.134691 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 9.853786 | -0.586585 | -1.269477 | 9.853786 | 2.599927 | 0.015093 | -0.137761 | 3.065813 | 0.128302 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Power | 1.003528 | -1.457614 | 0.375826 | 1.003528 | -0.696402 | -0.457190 | -0.918477 | -0.420631 | -0.061665 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 12.106069 | -1.666187 | -0.377595 | 2.594409 | 12.106069 | -0.289588 | -0.459431 | -0.326538 | -0.502390 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Power | 1.124135 | -0.743534 | -1.311475 | -1.783556 | 1.124135 | -0.868955 | -0.256452 | 0.722880 | -0.119092 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 10.122154 | -1.427408 | -0.540524 | 2.400005 | 10.122154 | 0.410237 | 1.616018 | -0.134974 | 1.508343 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Power | 1.291582 | -1.329685 | -0.725055 | 1.291582 | -1.564380 | -0.487197 | -0.984187 | -0.474590 | 0.799581 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 18.898239 | -0.499763 | -0.573479 | -2.274005 | -0.631843 | -0.772883 | 10.401640 | 18.898239 | 0.449939 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 13.285785 | 4.414143 | -0.341029 | -1.424630 | -0.084978 | 4.705657 | 11.241746 | 13.285785 | 1.066908 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 16.365873 | -0.926731 | -0.531912 | -0.969811 | 4.499192 | 2.667985 | 16.365873 | 1.969147 | 2.486724 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 16.127197 | 0.713326 | -1.721914 | 1.311217 | -1.208575 | 0.225833 | 0.153723 | 16.127197 | 0.181829 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 23.391879 | 0.015794 | -1.946970 | 3.754481 | -0.900598 | -0.372593 | -0.168853 | 23.391879 | 0.287643 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 32.140498 | -0.263310 | -1.539132 | 5.233308 | -0.713636 | 0.212187 | -0.613321 | 32.140498 | 0.543507 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 7.022523 | -0.803003 | -0.625215 | -0.063101 | 4.231166 | 3.299315 | 7.022523 | 0.135218 | 3.159291 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 103.910739 | -1.049300 | -0.464799 | -0.592197 | 2.757262 | 1.276186 | 103.910739 | 2.209398 | 36.054251 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 108.411349 | -1.375549 | -0.667023 | -0.865473 | 2.546625 | -0.179834 | 1.188941 | 0.926237 | 108.411349 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 95.781715 | -1.584261 | -0.918990 | 0.304972 | 1.999725 | 0.498380 | 7.873512 | 0.472617 | 95.781715 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 48.173161 | -0.818205 | -1.124549 | 11.292053 | -0.161280 | 23.133728 | -0.354372 | 48.173161 | -0.121190 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 27.434802 | -0.064058 | -1.201326 | 1.032735 | -0.159313 | 0.659986 | 0.526750 | 27.434802 | 1.547311 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 18.073244 | -2.088617 | -0.407114 | 0.308201 | 0.979163 | -0.693941 | 0.256880 | 1.423322 | 18.073244 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 3.609500 | -0.637590 | -1.162102 | -0.213804 | 0.365486 | 1.718762 | -0.161980 | 3.609500 | 2.185641 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 6.459591 | 0.276579 | 2.230198 | -0.849082 | -0.426676 | 1.392997 | 1.202148 | 3.421803 | 6.459591 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Temporal Discontinuties | 5.296003 | -0.880846 | -0.274239 | -0.553704 | 0.839911 | 0.127165 | -0.301040 | 5.069868 | 5.296003 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 1.897618 | 0.004967 | -0.023442 | -1.150198 | 0.019679 | 0.387197 | 0.866927 | 0.684945 | 1.897618 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 25.340674 | 4.777141 | 1.949631 | 0.406055 | 0.325631 | 1.054712 | 25.340674 | 3.100221 | 4.393297 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 2621.729007 | 125.519916 | 180.870301 | 74.350045 | 90.170868 | 1097.864084 | 1121.705082 | 2213.672390 | 2621.729007 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 7.319965 | -0.176346 | -0.627485 | -1.143095 | -0.993301 | 7.319965 | 5.927674 | 5.052731 | 1.552410 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Power | 3.888863 | -1.803027 | -1.134688 | 3.888863 | 1.229603 | -1.013294 | 2.442409 | 1.050754 | -0.699402 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 3.008385 | 0.960903 | 0.647518 | 1.702971 | 1.322164 | 3.008385 | 0.826174 | 1.728453 | 0.737786 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 5.220051 | -0.543999 | -0.949849 | -0.304310 | -0.460647 | 2.515313 | 4.095914 | 5.220051 | 1.229755 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 10.801160 | -2.215628 | -1.333906 | 1.171136 | 0.125909 | -0.950184 | -0.855247 | 0.484875 | 10.801160 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 3.307796 | -0.696333 | -0.315680 | -1.142852 | -1.004770 | -0.066870 | 0.417104 | 0.526253 | 3.307796 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 22.189190 | -1.432051 | -0.500183 | 1.885290 | -0.048401 | 0.356521 | 0.399949 | 0.103651 | 22.189190 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 20.877046 | -0.724137 | -1.324587 | -0.227785 | 0.662954 | 2.028785 | 3.877989 | 20.877046 | 0.838115 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Power | 0.903187 | -0.447511 | -1.434755 | -0.048718 | 0.903187 | 0.633642 | -0.038000 | 0.691995 | -0.673313 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 33.508906 | -0.929214 | -1.024642 | 2.119470 | 1.774670 | -0.361039 | 33.508906 | 3.467563 | 10.753035 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 24.328511 | -0.709840 | -0.891885 | -0.441658 | 2.375411 | 1.730629 | -0.482175 | 24.328511 | -0.252048 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Power | 1.565350 | -1.022981 | -1.259886 | -0.238973 | 1.565350 | -0.077626 | 0.197887 | 0.555174 | 0.378124 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Temporal Discontinuties | 6.364085 | -0.958164 | -0.779289 | 1.374050 | -0.299839 | 4.157505 | 2.264009 | 6.364085 | 5.643137 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 27.338390 | 0.478611 | -0.464063 | 3.531603 | 2.116515 | 3.053780 | 0.612442 | 27.338390 | -0.072801 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 5.913821 | -0.209145 | -0.462368 | 1.213202 | 0.663629 | -0.560988 | 1.192412 | 3.077215 | 5.913821 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 7.843993 | -1.180294 | -1.642663 | -0.962247 | 1.500539 | 2.710710 | 1.256325 | 7.843993 | 4.572441 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Variability | 35.741106 | -1.346353 | -1.040797 | 1.842834 | 1.894681 | 4.831163 | 35.741106 | 3.064267 | 5.757745 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Temporal Discontinuties | 1.057073 | -0.574121 | -0.526816 | 0.582195 | -0.848006 | 0.200998 | 0.327305 | 1.057073 | 0.744279 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Power | 2.183127 | -0.847904 | -0.690456 | -0.256035 | 2.183127 | -0.263776 | 0.585707 | 0.110955 | -0.070045 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Temporal Discontinuties | 8.946302 | -0.741000 | -0.227241 | -0.752287 | 1.448922 | -0.182320 | -0.952240 | 8.946302 | 1.196145 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | N14 | digital_ok | ee Temporal Variability | 14.349637 | -0.139560 | -0.357865 | 1.145253 | -0.373563 | 1.937647 | 14.349637 | 7.253979 | 0.971594 |